Manager, Machine Learning Engineering (Fintech)

TL;DR

Manager, Machine Learning Engineering (Fintech): Leading the Fraud ML team to develop models that detect and prevent abuse during the loan application process with an accent on representation learning and transformer-based techniques. Focus on designing high-impact fraud models across the full ML lifecycle and ensuring their effective integration into decisioning systems.

Location: Remote (Must be based in Canada)

Salary: $178,000 - $228,000 CAD

Company

hirify.global is a fintech company reinventing credit by providing consumers with honest and friendly buy now and pay later options without hidden fees.

What you will do

• Define the technical and modeling strategy for fraud detection to reduce losses and optimize customer experience.
• Lead a team of ML engineers through the full ML lifecycle, from experimentation to production deployment and monitoring.
• Drive the adoption of advanced modeling approaches, including representation learning and transformer-based methods.
• Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to integrate models into decisioning systems.
• Coach and develop engineering talent, fostering a culture of technical excellence and ownership.

Requirements

• Bachelor’s degree in a technical field.
• 8+ years of industry experience, including 3+ years managing engineers.
• Experience with modern ML approaches: deep learning, transformers, and gradient-boosted trees.
• Proven ability to deliver end-to-end ML solutions in production environments.
• Strong engineering fundamentals and experience with scalable systems and data pipelines.
• Must be based in Canada.

Culture & Benefits

• 100% subsidized medical, dental, and vision coverage for employees and their dependents.
• Flexible Spending Wallets for technology, food, lifestyle, and family forming expenses.
• Competitive vacation and holiday schedules to ensure work-life balance.
• Employee Stock Purchase Plan (ESPP) allowing the purchase of company shares at a discount.
• Remote-first culture with flexibility to work from anywhere within the country of employment.